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Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex

View ORCID ProfileJakob Voigts, View ORCID ProfileIngmar Kanitscheider, Nicholas J. Miller, Enrique H.S. Toloza, View ORCID ProfileJonathan P. Newman, View ORCID ProfileIla R. Fiete, View ORCID ProfileMark T. Harnett
doi: https://doi.org/10.1101/2022.04.12.488024
Jakob Voigts
1Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
2McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
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  • For correspondence: jvoigts@mit.edu
Ingmar Kanitscheider
3OpenAI, San Francisco, CA, USA
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Nicholas J. Miller
1Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
2McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
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Enrique H.S. Toloza
1Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
2McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
4Department of Physics, MIT, Cambridge, MA, USA
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Jonathan P. Newman
1Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
5Picower Institute for Learning and Memory, MIT, Cambridge, MA, USA
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Ila R. Fiete
1Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
2McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
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Mark T. Harnett
1Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
2McGovern Institute for Brain Research, MIT, Cambridge, MA, USA
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Abstract

From visual perception to language, sensory stimuli change their meaning depending on prior experience. Recurrent neural dynamics can interpret stimuli based on externally cued context, but it is unknown whether similar dynamics can compute and employ internal hypotheses to resolve ambiguities. Here, we show that mouse retrosplenial cortex (RSC) can form hypotheses over time and perform spatial reasoning through recurrent dynamics. In our task, mice navigated using ambiguous landmarks that are identified through their mutual spatial relationship, requiring sequential refinement of hypotheses. Neurons in RSC and in artificial neural networks encoded mixtures of hypotheses, location, and sensory information, and were constrained by robust low dimensional dynamics. RSC encoded hypotheses as locations in activity space with divergent trajectories for identical sensory inputs, enabling their correct interpretation. Our results indicate that interactions between internal hypotheses and external sensory data in recurrent circuits can provide a substrate for complex sequential cognitive reasoning.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted April 13, 2022.
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Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex
Jakob Voigts, Ingmar Kanitscheider, Nicholas J. Miller, Enrique H.S. Toloza, Jonathan P. Newman, Ila R. Fiete, Mark T. Harnett
bioRxiv 2022.04.12.488024; doi: https://doi.org/10.1101/2022.04.12.488024
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Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex
Jakob Voigts, Ingmar Kanitscheider, Nicholas J. Miller, Enrique H.S. Toloza, Jonathan P. Newman, Ila R. Fiete, Mark T. Harnett
bioRxiv 2022.04.12.488024; doi: https://doi.org/10.1101/2022.04.12.488024

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